Integrated market selection and production planning: complexity and solution approaches

被引:0
|
作者
Wilco Van den Heuvel
O. Erhun Kundakcioglu
Joseph Geunes
H. Edwin Romeijn
Thomas C. Sharkey
Albert P. M. Wagelmans
机构
[1] Erasmus University Rotterdam,Econometric Institute
[2] University of Houston,Department of Industrial Engineering
[3] University of Florida,Department of Industrial and Systems Engineering
[4] The University of Michigan,Department of Industrial and Operations Engineering
[5] Rensselaer Polytechnic Institute,Center for Industrial Innovation
来源
Mathematical Programming | 2012年 / 134卷
关键词
Lot-sizing; Market selection; Complexity; 68Q25; 90B30; 90C39; 90C59;
D O I
暂无
中图分类号
学科分类号
摘要
Emphasis on effective demand management is becoming increasingly recognized as an important factor in operations performance. Operations models that account for supply costs and constraints as well as a supplier’s ability to influence demand characteristics can lead to an improved match between supply and demand. This paper presents a class of optimization models that allow a supplier to select, from a set of potential markets, those markets that provide maximum profit when production/procurement economies of scale exist in the supply process. The resulting optimization problem we study possesses an interesting structure and we show that although the general problem is \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\mathcal{NP}}$$\end{document}-complete, a number of relevant and practical special cases can be solved in polynomial time. We also provide a computationally very efficient and intuitively attractive heuristic solution procedure that performs extremely well on a large number of test instances.
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页码:395 / 424
页数:29
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